This month’s updates help security and IT teams strengthen identity and multicloud foundations, protect data wherever it ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

The Indian economy is experiencing rapid advances in the field of artificial intelligence. Today, banks are using AI ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

From a commitment to creativity to a passion for excellence, what can leaders in other markets learn from the most successful ...

Most people assume nonprofits are behind on technology, but watching how they're actually engaging with AI today, I’d argue ...